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Removed test cases which expect an error from fill_value
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pandas/tests/frame/test_arithmetic.py

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@@ -628,12 +628,6 @@ def test_arith_flex_frame_corner(self, float_frame):
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expected = float_frame.sort_index() * np.nan
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tm.assert_frame_equal(result, expected)
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with pytest.raises(NotImplementedError, match="fill_value"):
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float_frame.add(float_frame.iloc[0], fill_value=3)
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with pytest.raises(NotImplementedError, match="fill_value"):
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float_frame.add(float_frame.iloc[0], axis="index", fill_value=3)
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@pytest.mark.parametrize("op", ["add", "sub", "mul", "mod"])
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def test_arith_flex_series_ops(self, simple_frame, op):
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# after arithmetic refactor, add truediv here
@@ -667,19 +661,6 @@ def test_arith_flex_series_broadcasting(self, any_real_numpy_dtype):
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result = df.div(df[0], axis="index")
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tm.assert_frame_equal(result, expected)
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def test_arith_flex_zero_len_raises(self):
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# GH 19522 passing fill_value to frame flex arith methods should
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# raise even in the zero-length special cases
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ser_len0 = Series([], dtype=object)
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df_len0 = DataFrame(columns=["A", "B"])
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df = DataFrame([[1, 2], [3, 4]], columns=["A", "B"])
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with pytest.raises(NotImplementedError, match="fill_value"):
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df.add(ser_len0, fill_value="E")
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with pytest.raises(NotImplementedError, match="fill_value"):
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df_len0.sub(df["A"], axis=None, fill_value=3)
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def test_flex_add_scalar_fill_value(self):
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# GH#12723
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dat = np.array([0, 1, np.nan, 3, 4, 5], dtype="float")

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